Abstract
Snowcloud is a data gathering system for snow hydrology field research campaigns conducted in harsh climates and remote areas. The system combines distributed wireless sensor network technology and computational techniques to provide data to researchers at lower cost and higher spatial resolution than ground-based systems using traditional “monolithic” technologies. Supporting the work of a variety of collaborators, Snowcloud has seen multiple Winter deployments in settings ranging from high desert to arctic, resulting in over a dozen node-years of practical experience. In this chapter, we discuss both the system design and deployment experiences.
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Acknowledgments
The authors express their thanks to our scientific collaborators, including David Moeser (Swiss Federal Institute for Snow and Avalanche Research—SLF), and Drs. Mark Walker (UNR), Michael Loik (UCSC), Jennifer Jacobs (UNH), and Ian Brown (SU). We would also like to thank Dan Dawson (Sierra Nevada Aquatic Research Lab—SNARL) and Jeff Brown (Sagehen Creek Field Station) for their invaluable support of our field work.
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Skalka, C., Frolik, J. (2014). Snowcloud: A Complete Data Gathering System for Snow Hydrology Research. In: Langendoen, K., Hu, W., Ferrari, F., Zimmerling, M., Mottola, L. (eds) Real-World Wireless Sensor Networks. Lecture Notes in Electrical Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-319-03071-5_1
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DOI: https://doi.org/10.1007/978-3-319-03071-5_1
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